An Improved Method for Estimating Aerosol Optical Thickness from Artificial Light Sources Observed by the Visible/Infrared Imaging Radiometer Suite Day/Night Band

Using Visible/Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) data, a method, dubbed the “variance method”, is developed for retrieving nighttime aerosol optical thickness (AOT) values based on the dispersion of radiance values above an artificial light source. An improvement of a pre...

Full description

Bibliographic Details
Main Author: Mchardy, Theodore Mitchell
Format: Text
Language:unknown
Published: UND Scholarly Commons 2015
Subjects:
AOT
Online Access:https://commons.und.edu/theses/1932
https://commons.und.edu/cgi/viewcontent.cgi?article=2933&context=theses
id ftunivndakota:oai:commons.und.edu:theses-2933
record_format openpolar
spelling ftunivndakota:oai:commons.und.edu:theses-2933 2023-05-15T13:06:19+02:00 An Improved Method for Estimating Aerosol Optical Thickness from Artificial Light Sources Observed by the Visible/Infrared Imaging Radiometer Suite Day/Night Band Mchardy, Theodore Mitchell 2015-01-01T08:00:00Z application/pdf https://commons.und.edu/theses/1932 https://commons.und.edu/cgi/viewcontent.cgi?article=2933&context=theses unknown UND Scholarly Commons https://commons.und.edu/theses/1932 https://commons.und.edu/cgi/viewcontent.cgi?article=2933&context=theses Theses and Dissertations Aerosol AOT Artificial Night VIIRS text 2015 ftunivndakota 2022-09-14T06:31:14Z Using Visible/Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) data, a method, dubbed the “variance method”, is developed for retrieving nighttime aerosol optical thickness (AOT) values based on the dispersion of radiance values above an artificial light source. An improvement of a previous algorithm, this updated method derives a semi-quantitative indicator of nighttime AOT using artificial light sources. Nighttime AOT retrievals from the newly developed method are inter-compared with an interpolated value from late afternoon and early morning ground observations from four AErosol RObotic NETwork (AERONET) sites as well as column-integrated  from one High Spectral Resolution LiDAR (HSRL) site at Huntsville, AL during the NASA Studies of Emissions and Atmospheric Composition, Clouds and Climate Coupling by Regional Surveys (SEAC4RS) campaign, providing full diel coverage. This method does not account for lunar reflectance from either the surface or the aerosol layer. Sensitivity tests do no indicate large systematic or random errors associated with lunar illumination. VIIRS AOT retrievals yield a coefficient of determination (r^2) of 0.60 and a root-mean-squared-error (RMSE) of 0.18 when compared against straddling daytime-averaged AERONET AOT values. Preliminary results suggest that artificial light sources can be used for estimating regional and global nighttime aerosol distributions in the future. Text Aerosol Robotic Network UND Scholarly Commons (University of North Dakota)
institution Open Polar
collection UND Scholarly Commons (University of North Dakota)
op_collection_id ftunivndakota
language unknown
topic Aerosol
AOT
Artificial
Night
VIIRS
spellingShingle Aerosol
AOT
Artificial
Night
VIIRS
Mchardy, Theodore Mitchell
An Improved Method for Estimating Aerosol Optical Thickness from Artificial Light Sources Observed by the Visible/Infrared Imaging Radiometer Suite Day/Night Band
topic_facet Aerosol
AOT
Artificial
Night
VIIRS
description Using Visible/Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) data, a method, dubbed the “variance method”, is developed for retrieving nighttime aerosol optical thickness (AOT) values based on the dispersion of radiance values above an artificial light source. An improvement of a previous algorithm, this updated method derives a semi-quantitative indicator of nighttime AOT using artificial light sources. Nighttime AOT retrievals from the newly developed method are inter-compared with an interpolated value from late afternoon and early morning ground observations from four AErosol RObotic NETwork (AERONET) sites as well as column-integrated  from one High Spectral Resolution LiDAR (HSRL) site at Huntsville, AL during the NASA Studies of Emissions and Atmospheric Composition, Clouds and Climate Coupling by Regional Surveys (SEAC4RS) campaign, providing full diel coverage. This method does not account for lunar reflectance from either the surface or the aerosol layer. Sensitivity tests do no indicate large systematic or random errors associated with lunar illumination. VIIRS AOT retrievals yield a coefficient of determination (r^2) of 0.60 and a root-mean-squared-error (RMSE) of 0.18 when compared against straddling daytime-averaged AERONET AOT values. Preliminary results suggest that artificial light sources can be used for estimating regional and global nighttime aerosol distributions in the future.
format Text
author Mchardy, Theodore Mitchell
author_facet Mchardy, Theodore Mitchell
author_sort Mchardy, Theodore Mitchell
title An Improved Method for Estimating Aerosol Optical Thickness from Artificial Light Sources Observed by the Visible/Infrared Imaging Radiometer Suite Day/Night Band
title_short An Improved Method for Estimating Aerosol Optical Thickness from Artificial Light Sources Observed by the Visible/Infrared Imaging Radiometer Suite Day/Night Band
title_full An Improved Method for Estimating Aerosol Optical Thickness from Artificial Light Sources Observed by the Visible/Infrared Imaging Radiometer Suite Day/Night Band
title_fullStr An Improved Method for Estimating Aerosol Optical Thickness from Artificial Light Sources Observed by the Visible/Infrared Imaging Radiometer Suite Day/Night Band
title_full_unstemmed An Improved Method for Estimating Aerosol Optical Thickness from Artificial Light Sources Observed by the Visible/Infrared Imaging Radiometer Suite Day/Night Band
title_sort improved method for estimating aerosol optical thickness from artificial light sources observed by the visible/infrared imaging radiometer suite day/night band
publisher UND Scholarly Commons
publishDate 2015
url https://commons.und.edu/theses/1932
https://commons.und.edu/cgi/viewcontent.cgi?article=2933&context=theses
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_source Theses and Dissertations
op_relation https://commons.und.edu/theses/1932
https://commons.und.edu/cgi/viewcontent.cgi?article=2933&context=theses
_version_ 1766000824990826496